US mid-sized manufacturers are gaining access to federally backed funding for private 5G deployments - but only if they adopt open industrial standards and pursue cross-vendor interoperability. The condition is reshaping network architecture decisions on plant floors nationwide.
Background
Funded by the CHIPS and Science Act of 2022, the $1.5 billion Public Wireless Supply Chain Innovation Fund invests in American leadership in mobile telecommunications, aiming to drive wireless innovation, foster competition, and strengthen supply chain resilience. The National Telecommunications and Information Administration (NTIA) administers the program.
Although 5G is a dynamic technology, the equipment market has remained static, dominated by a small group of companies, some of which pose a national security threat. The lack of competition has degraded supply chains, driven up prices, and blocked emerging players from entering the market.1pwscif-nofo-3-final_amended.pdf Open Radio Access Networks (Open RAN) are key to addressing these challenges. Traditional networks rely on a single vendor to supply every component, whereas Open RAN is interoperable - allowing network architects to source parts from different suppliers to build optimized networks.2More than 90 Applications Requesting Nearly $3 Billion Submitted for the Wireless Innovation Fund’s Third Round | National Telecommunications and Information Administration
The program's third round of grant applications closed in April 2025. NTIA has awarded over $550 million across 35 projects through the first two funding rounds.
Details
The third Notice of Funding Opportunity (NOFO) makes up to $450 million available for industry-specific use cases and integration of automated solutions for Open RAN equipment, aimed at accelerating adoption. This round targets two critical areas: software solutions that leverage data from Open RAN interfaces to drive energy efficiencies, cost savings, and productivity gains for industry verticals - including manufacturing - and software solutions that reduce the cost and complexity of multi-vendor integration through automation.
Adam Cassady, Acting Assistant Secretary of Commerce for Communications and Information, stated that "promoting innovation in wireless networks is key to increasing America's technological leadership," adding that the funding round is "about driving forward the adoption of open and interoperable networks so that American businesses can thrive in the market for wireless equipment."
For manufacturing operators, OT-IT convergence remains a central implementation challenge. High-frequency operational technology (OT) data from critical equipment is often siloed in legacy wired networks, overextended Wi-Fi, and fragmented device ecosystems not designed for continuous, real-time industrial workloads. When data cannot move freely and reliably, valuable signals are delayed or lost between systems, limiting the impact of AI, digital twins, and advanced automation.
AI-driven private wireless networks have emerged as a catalyst for IT/OT convergence, delivering secure, high-performance connectivity and enabling intelligent edge computing that transforms fragmented systems into unified, adaptive infrastructures. However, OT systems - including industrial control systems (ICS) and supervisory control and data acquisition (SCADA) architectures - were designed with proprietary protocols and disparate data formats, often rendering them incompatible with modern IT infrastructure. Integrating these legacy systems requires complex, time-consuming planning and custom development or middleware, introducing significant downtime risk.
Early deployment data indicates measurable returns. Across 115 organizations in manufacturing, energy, logistics, mining, and transportation, 87% of adopters reported a return on investment within one year of deploying private wireless with on-premise edge. Setup costs were lower than alternatives for 81% of respondents, with over half saving at least 11%, and 86% cut ongoing costs. Critically, 94% deployed on-premise edge alongside private wireless, and 70% are already powering AI use cases such as predictive maintenance, real-time monitoring, and digital twins.
Digital twin implementations have demonstrated 20-40% improvement in downtime reduction in industrial manufacturing deployments, according to PatSnap's 2026 digital twin technology landscape. MarketsandMarkets projects the private 5G market to grow from $3.86 billion in 2025 to $17.55 billion by 2030, at a 35.4% CAGR.
OT workforce development is a concurrent requirement. Private 5G has long been positioned as the backbone of Industry 4.0, but early adopters are finding that success depends as much on RF engineering, device readiness, and OT integration as on the 5G standard itself. Gartner research indicates that organizations failing to bridge the IT-OT semantic gap by 2027 will be unable to realize more than 20% of the value from their digital-twin investments. IDC projects that 65% of G2000 manufacturers will deploy unified IT-OT data platforms by 2027, up from under 20% in 2024, driven by digital-twin and AI requirements. Gartner forecasts that 50% of industrial AI deployments will shift from centralized cloud inference to edge-native architectures by 2027.
For related coverage of cross-vendor interoperability developments in European factory automation, see Multi-Vendor Modular Cells Advance Interoperability in Factory Automation and Cross-Industry Push Strengthens Industry 4.0 Interoperability Standards.
Outlook
NTIA is evaluating more than 90 applications requesting nearly $3 billion for the third funding round - nearly seven times the $450 million available - signaling strong industry demand. This NOFO is the third in a series NTIA will issue under the Innovation Fund, focusing on software solutions for industry verticals and integration automation. NTIA has also announced a new direction for the Innovation Fund centered on promoting US-based AI-native network architecture, aligned with the AI Action Plan and the President's Executive Order on Promoting the Export of the American AI Technology Stack. Manufacturers pursuing grant eligibility will need to demonstrate not only open-standards compliance and multi-vendor interoperability, but also credible plans for OT workforce training - positioning capability development as a condition of federal capital access rather than a discretionary investment.
